Tong Chen
4 papers · Latest:
FINER-SQL: Boosting Small Language Models for Text-to-SQL
FINER-SQL boosts small language models for Text-to-SQL via fine-grained RL feedback, achieving LLM-level accuracy with lower latency.
2605.03465
Information RetrievalProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
ProMax uses LLM-derived profiles and distribution shaping to significantly improve recommender systems by guiding models to learn unseen item preferences.
2604.26231
Information RetrievalPrompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
This paper introduces PUDA, a novel black-box attack framework that promotes items in LLM-based sequential recommenders without knowing the model or prompt.
2604.23640
Information RetrievalFederated User Behavior Modeling for Privacy-Preserving LLM Recommendation
SF-UBM proposes a privacy-preserving federated LLM recommendation system that uses semantic bridging and knowledge distillation for non-overlapping domains.
2604.14833
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